Logistic Regression Call
Call:
glm(formula = Outcome ~ ., family = binomial(), data = data)
Deviance Residuals:
Min 1Q Median 3Q Max
-2.4970 -0.7148 -0.4049 0.7043 2.8928
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -8.048e+00 7.807e-01 -10.308 < 2e-16 ***
Pregnancies1 -2.544e-01 3.553e-01 -0.716 0.47400
Pregnancies2 -2.760e-01 3.822e-01 -0.722 0.47016
Pregnancies3 4.767e-01 3.882e-01 1.228 0.21946
Pregnancies4 1.815e-01 3.924e-01 0.463 0.64372
Pregnancies5 4.644e-01 4.198e-01 1.106 0.26858
Pregnancies6 2.255e-01 4.544e-01 0.496 0.61969
Pregnancies7 7.878e-01 4.521e-01 1.743 0.08140 .
Pregnancies8 1.183e+00 4.909e-01 2.410 0.01596 *
Pregnancies9 1.431e+00 5.531e-01 2.587 0.00969 **
Pregnancies10 6.469e-01 5.620e-01 1.151 0.24964
Pregnancies11 9.156e-01 7.620e-01 1.202 0.22953
Pregnancies12 1.093e+00 8.487e-01 1.288 0.19772
Pregnancies13 5.704e-01 7.905e-01 0.722 0.47057
Pregnancies14 1.624e+01 8.936e+02 0.018 0.98550
Pregnancies15 1.593e+01 1.455e+03 0.011 0.99127
Pregnancies17 1.398e+01 1.455e+03 0.010 0.99234
Glucose 3.465e-02 3.809e-03 9.097 < 2e-16 ***
BloodPressure -1.397e-02 5.323e-03 -2.624 0.00870 **
SkinThickness 9.803e-04 7.013e-03 0.140 0.88884
Insulin -1.211e-03 9.164e-04 -1.321 0.18637
BMI 8.882e-02 1.544e-02 5.753 8.76e-09 ***
DiabetesPedigreeFunction 9.676e-01 3.062e-01 3.160 0.00158 **
Age 1.415e-02 9.587e-03 1.476 0.13983
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Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 993.48 on 767 degrees of freedom
Residual deviance: 712.19 on 744 degrees of freedom
AIC: 760.19
Number of Fisher Scoring iterations: 14
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